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After bivariate analysis to test the hypotheses using Pearson correlation, we performed multiple regression analysis.
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First, we performed a bivariate correlation analysis to test the association between social cognition and cognitive flexibility (H4).
In the relationship between work stressors and work adjustment, this study used a bivariate Pearson-product moment correlation analysis to test the association between constructs.
We utilized one-way analysis of variance to compare overall means for continuous variables and bivariate analysis using χ to test for differences in categorical variables.
Bivariate analysis was performed to test the relationship between dependent and independent variables at P<0.05.
In addition to age and sex, the following variables that were significant in bivariate analysis were tested in the multivariate regression: number of comorbid conditions; number of medications; length of stay; ADL score (1 4); IADL score (1 4); communication; mood; and cognitive problems.
Statistical significance in the bivariate analysis was tested by the χ test.
The absolute frequencies and proportions were obtained for descriptive and bivariate analysis (Chi-squared test) to test for possible associations between the variables.
Bivariate analysis tested racial/ethnic differences on the various measures.
The bivariate analysis testing the association between three severity scores calculated on axis 1 and rheumatic symptoms is summarized in Table 2 and in Table 3 for self-perceived recovery.
Bivariate correlation analysis was used to test four hypotheses.
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